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Item-based collaborative filtering recommendation algorithms

Item-based collaborative filtering recommendation algorithms is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Badrul Sarwar, George Karypis, Joseph A. Konstan, John Riedl; Year: 2001; Field: Recommender Systems and Techniques.

AuthorsBadrul Sarwar, George Karypis, Joseph A. Konstan, John Riedl
Year2001
FieldRecommender Systems and Techniques
Times cited9011
Typearticle
DOI / linkhttps://doi.org/10.1145/371920.372071

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